This paper examines two scene recovery problems arising when interpreting data from massive numbers of randomly distributed single pixel cameras. Assuming that the camera position...
The complexity of human detection increases significantly with a growing density of humans populating a scene. This paper presents a Bayesian detection framework using shape and m...
The motion of a non-rigid scene over time imposes more constraints on its structure than those derived from images at a single time instant alone. An algorithm is presented for si...
Sundar Vedula, Simon Baker, Steven M. Seitz, Takeo...
We present light fall-off stereo?LFS?a new method for computing depth from scenes beyond lambertian reflectance and texture. LFS takes a number of images from a stationary camera ...
Different data acquisition methods are tailored at extracting particular characteristics from a scene and by combining their results a more robust scene description can be created...